World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
6772
World Ranking
8608
National Ranking
289

Jörg Raisch publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jörg Raisch sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 308 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Jörg Raisch D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jörg Raisch sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Jörg Raisch is affiliated with the Technical University of Berlin in Germany. Their research primarily spans the fields of computer science and engineering, with a focus on specialized areas such as computational theory and mathematics, computer networks and communications, electrical and electronic engineering, control and systems engineering, and hardware and architecture.

Their work encompasses a variety of topics including:

  • Petri nets in system modeling
  • Formal methods in verification
  • Distributed systems and fault tolerance
  • Real-time systems scheduling
  • Microgrid control and optimization
  • Wind turbine control systems
  • Smart grid energy management

Jörg Raisch has contributed to a wide range of publication venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • Discrete Event Dynamic Systems
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Automatica

Some of the recent papers authored or co-authored by Raisch are:

  • Multi-modal sensor fusion for highly accurate vehicle motion state estimation, 2020, Control Engineering Practice
  • Optimal control of timed event graphs with resource sharing and output-reference update, 2020, at - Automatisierungstechnik
  • A Novel IMU Extrinsic Calibration Method for Mass Production Land Vehicles, 2020, Sensors
  • Regularized adaptive Kalman filter for non-persistently excited systems, 2022, Automatica
  • Over-the-Air Max-Consensus in Clustered Networks Adopting Half-Duplex Communication Technology, 2022, IEEE Transactions on Control of Network Systems

Collaborations with other researchers form an important part of Raisch's output. Frequent co-authors include:

  • Davide Zorzenon
  • Thomas Seel
  • Laurent Hardouin
  • Christian A. Hans
  • Germano Schafaschek

Jörg Raisch's scientific contributions address complex problems involving system modeling, control, and optimization, often within the scope of dynamic and distributed systems. The diversity of their publication venues and topics reflects an interdisciplinary approach to research in computer science and engineering.

Best Publications

  • IMU-based joint angle measurement for gait analysis.

    Thomas Seel;Jörg Raisch;Jörg Raisch;Thomas Schauer

  • Voltage Stability and Reactive Power Sharing in Inverter-Based Microgrids With Consensus-Based Distributed Voltage Control

    Johannes Schiffer;Thomas Seel;Jorg Raisch;Tevfik Sezi

  • Conditions for stability of droop-controlled inverter-based microgrids

    Johannes Schiffer;Romeo Ortega;Alessandro Astolfi;Alessandro Astolfi;Jörg Raisch;Jörg Raisch

  • A survey on modeling of microgrids-From fundamental physics to phasors and voltage sources

    Johannes Schiffer;Daniele Zonetti;Romeo Ortega;Aleksandar M. Stanković

  • Discrete approximation and supervisory control of continuous systems

    J. Raisch;S.D. O'Young

  • Online identification and nonlinear control of the electrically stimulated quadriceps muscle

    T. Schauer;T. Schauer;N. O. Negard;N. O. Negard;Fabio Previdi;K. J. Hunt

  • Joint axis and position estimation from inertial measurement data by exploiting kinematic constraints

    Thomas Seel;Thomas Schauer;Jorg Raisch

  • Subnetwork analysis reveals dynamic features of complex (bio)chemical networks

    Carsten Conradi;Dietrich Flockerzi;Jörg Raisch;Jörg Raisch;Jörg Stelling

  • Iterative learning control of a drop foot neuroprosthesis — Generating physiological foot motion in paretic gait by automatic feedback control

    Thomas Seel;Cordula Werner;Jörg Raisch;Jörg Raisch;Thomas Schauer

  • Synchronization of droop-controlled microgrids with distributed rotational and electronic generation

    Johannes Schiffer;Darina Goldin;Jorg Raisch;Tevfik Sezi

  • Supervisory control of hybrid systems within a behavioural framework

    T. Moor;J. Raisch

  • Discrete Supervisory Control of Hybrid Systems Based on l-Complete Approximations

    Thomas Moor;Jörg Raisch;Siu O’Young

  • Max-consensus in a max-plus algebraic setting: The case of fixed communication topologies

    Behrang Monajemi Nejad;Sid Ahmed Attia;Jorg Raisch

  • Hierarchical Distributed Model Predictive Control of Interconnected Microgrids

    C. A. Hans;P. Braun;J. Raisch;L. Grune

  • H∞-Control of a continuous crystallizer

    Ulrich Vollmer;Jörg Raisch

  • Using chemical reaction network theory to discard a kinetic mechanism hypothesis

    Carsten Conradi;Julio Saez-Rodriguez;Ernst Dieter Gilles;Jörg Raisch;Jörg Raisch

  • Monotonic convergence of iterative learning control systems with variable pass length

    Thomas Seel;Thomas Schauer;Jörg Raisch;Jörg Raisch

  • Consensus for Agents with Double Integrator Dynamics in Heterogeneous Networks

    D. Goldin;Jörg Raisch;Jörg Raisch

  • Multistationarity in the activation of a MAPK: Parametrizing the relevant region in parameter space

    Carsten Conradi;Dietrich Flockerzi;Jörg Raisch

  • Control of Continuous Plants by Symbolic Output Feedback

    Jörg Raisch

Frequent Co-Authors

Andreas Seidel-Morgenstern
Andreas Seidel-Morgenstern Max Planck Society
Kai Sundmacher
Kai Sundmacher Max Planck Institute for Dynamics of Complex Technical Systems
Achim Kienle
Achim Kienle Otto-von-Guericke University Magdeburg
Ernst Dieter Gilles
Ernst Dieter Gilles Max Planck Society
Romeo Ortega
Romeo Ortega Instituto Tecnológico Autónomo de México
Alessandro Giua
Alessandro Giua University of Cagliari
Slawomir Stanczak
Slawomir Stanczak Fraunhofer Society
Giancarlo Ferrigno
Giancarlo Ferrigno Polytechnic University of Milan
Jan Lunze
Jan Lunze Ruhr University Bochum
Carla Seatzu
Carla Seatzu University of Cagliari

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